Machine Learning
A Probabilistic Perspective
$301.86
- Hardcover
1104 pages
- Release Date
24 August 2012
Summary
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probab…
Book Details
| ISBN-13: | 9780262018029 |
|---|---|
| ISBN-10: | 0262018020 |
| Author: | Kevin P. Murphy |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 1104 |
| Release Date: | 24 August 2012 |
| Weight: | 1.91kg |
| Dimensions: | 229mm x 203mm x 35mm |
| Series: | Adaptive Computation and Machine Learning series |
What They're Saying
Critics Review
“This comprehensive book should be of great interest to learners and practitioners inthe field of machine learning.” – British Computer Society
This comprehensive book should be of great interest to learners and practitioners in the field of machine learning.
* British Computer Society *About The Author
Kevin P. Murphy
Kevin P. Murphy is a Senior Staff Research Scientist at Google Research.
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